Generative models are a class of artificial intelligence systems designed to create new content, such as text, images, or audio, by learning patterns from large datasets. In cybersecurity, these models can be used for both beneficial and malicious purposes. For example, they can help generate synthetic data for testing security systems or create realistic phishing emails and deepfakes for social engineering attacks. Understanding how generative models work is crucial for developing effective defenses against threats that leverage AI-generated content. Their growing sophistication makes them a significant focus in modern cybersecurity research and defense strategies.